A Robust and Efficient Algorithm for Coprime Array Adaptive Beamforming
By Chengwei Zhou, Yujie Gu, Shibo He, Zhiguo Shi. IEEE Transactions on Vehicular Technology, 2017
347 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Signal Processing
View Paper: https://www.semanticscholar.org/paper/5780e94fd47587ab5bca8ff5b5fecd24724a93c1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Luca Sanguinetti
- Emil Björnson
- Jakob Hoydis
- Henk Wymeersch
- T. Marzetta
- Guoqiang Mao
- Yimin D. Zhang
- Yujie Gu
In Signal Processing
- Emil Björnson
- T. Marzetta
- Zhiguo Shi
- Luca Sanguinetti
- Chengwei Zhou
- Shibo He
- Henk Wymeersch
- Guoqiang Mao
Citations in the corpus
- Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation (2018, background): “Motivated by these advantages, a series of efforts have been made to exploit the coprime array for DOA estimation [10], adaptive beamforming [11], and spectrum sensing [12].”
- Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, background): “Non-uniform array geometries can provide better spatial resolution than uniform geometries [48], [49].”
- A Novel Data Fusion Algorithm to Combat False Data Injection Attacks in Networked Radar Systems (2018, background): “Although the security problems of networked radar systems have received increasing attention, among them, most current researches concentrated on ECM jamming, since it is a main threat to radars [11], [20].”